Abstract

This paper presents dynamic-fuzzy logic (DFL) and its usefulness in cognitive/affective modeling. Freud noted that hate changes into love and love into hate even without any alteration of the object. Vallacher and Nowak confirmed experimentally that people might change their judgment even in absence of new data of the object. Related mental phenomena can be modeled using fuzzy sets, provided that constant membership values are replaced with dynamic ones. As for definition of membership, instead of a real numbers in the interval [0, 1] Buller proposed a function mapping time onto this interval. This way a membership becomes a dynamic membership and fuzzy sets become dynamic-fuzzy. A cellular inference engine, called Working Memory, was used for dynamic-fuzzy calculus. Fuzziness of input data was represented there as streams of contradictory statements called memes. When two or more memes met in a cell, they may elastically collide, annihilate, or exchange/invert some of their codes.

Keywords

dynamic fuzziness working memory social judgment 

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Copyright information

© International Federation for Information Processing 2005

Authors and Affiliations

  • Junquan Li
    • 1
  • Andrzej Buller
    • 2
  • Yixin Yin
    • 1
  1. 1.School of Information EngineeringUniversity of Science and Technology Beijing, Haidian ZoneBeijingChina
  2. 2.ATR International Network Informatics LaboratoriesKyotoJapan

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